Senior Engineer – Data Systems & Platform
Posted November 10, 2026
Job Description
- Our Client Our client is a global leader in Human Experience Management (HXM), enabling companies to hire, onboard, and pay talent in over 160 countries—without the need to set up legal entities. Through their own cloud-based platform and direct Employer of Record (EOR) model, they’re changing how businesses approach international expansion. With a truly global, diverse, and remote-first team, they are committed to making the future of work borderless, inclusive, and impactful. About the Project As a Senior Engineer on the Data Systems & Platform team, you'll build the data systems behind a global HR tech platform, in code. This is a software engineering role with a data mindset: you'll own pipelines, storage and the AI features built on top of them, end to end, and work directly with product and business stakeholders to turn their needs into simple, well-tested, cost-efficient systems.
- Responsibilities Design, build and maintain data systems and services in Python, TypeScript and SQL. Tune relational databases (Azure SQL / PostgreSQL): indexing, query plans, slow-query optimization. Build ingestion and storage on column-store and lakehouse formats (Parquet, Iceberg), with an eye on cost. Build serverless and streaming ingestion pipelines (e.g., Cloudflare Pipelines to R2). Build AI/LLM features on top of company data: RAG, embeddings, vector stores, evals and agentic workflows. Own CI/CD, data testing, monitoring and data-quality alerting for your systems. Work directly with stakeholders to scope problems and ship solutions to production.
- Requirements 5+ years building production software in SQL, Python and TypeScript (or similar). Deep knowledge of relational database internals and query performance. Experience with Parquet, Iceberg or similar lakehouse formats. Hands-on AI/LLM work on top of data (RAG, embeddings, vector stores, evals). Daily use of AI coding tools (Claude Code, Cursor, Copilot). Experience with CI/CD, testing and monitoring for data systems. A forward-deployed mindset: comfortable owning problems end to end and talking with non-technical stakeholders. Clear English communication skills. Nice to have: PostHog, DuckDB, Terraform, Snowflake or Databricks.
- Perks and Benefits 100% remote – work from anywhere in LATAM. Competitive USD-based compensation. Join a truly global company with a diverse and inclusive team. 10 days of PTO per year Opportunities to shape infrastructure and engineering practices at scale. A mission-driven culture focused on global growth, sustainability, and social impact.
- We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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